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- Title
Research on a Sliding Detection Method for an Elevator Traction Wheel Based on Machine Vision.
- Authors
Chen, Jiayan; Jing, Limeng; Hong, Tao; Liu, Hui; Glowacz, Adam
- Abstract
To solve the problem that the elevator traction wheel slippage is difficult to detect quantitatively, a slippage detection method is proposed based on machine vision. The slip between the traction wheel and the wire rope will occur during the round-trip operation of the elevator, the displacement distance between the traction wheel and the wire rope in the circumferential direction is obtained through the image signal processing algorithm and related data analysis. First, the ROI (region of interest) of the collected original image is selected to reduce redundant information. Then, a nonlinear geometric transformation is carried out to transform the image into the target image with an equal object distance. Finally, the centroid method is used to obtain the slippage between the traction wheel and the wire rope. The field test results show that the absolute error of the system developed in this paper is 0.74 mm and the relative error is 2%, the extending uncertainty of the slip detection results is (33.8 ± 0.69) mm, the confidence probability is p = 0.95, and the degree of freedom is v = 8, which can meet accuracy requirements of elevator maintenance.
- Subjects
COMPUTER vision; ELEVATORS; WIRE rope; IMAGE processing; DEGREES of freedom
- Publication
Symmetry (20738994), 2020, Vol 12, Issue 7, p1158
- ISSN
2073-8994
- Publication type
Article
- DOI
10.3390/sym12071158